ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.12823
  4. Cited By
A Generalized Training Approach for Multiagent Learning

A Generalized Training Approach for Multiagent Learning

27 September 2019
Paul Muller
Shayegan Omidshafiei
Mark Rowland
K. Tuyls
Julien Perolat
Siqi Liu
Daniel Hennes
Luke Marris
Marc Lanctot
Edward Hughes
Zhe Wang
Guy Lever
N. Heess
T. Graepel
Rémi Munos
ArXivPDFHTML

Papers citing "A Generalized Training Approach for Multiagent Learning"

20 / 20 papers shown
Title
A Survey on Self-play Methods in Reinforcement Learning
A Survey on Self-play Methods in Reinforcement Learning
Chao Yu
Zelai Xu
Chengdong Ma
Chao Yu
Weijuan Tu
...
Deheng Ye
Wenbo Ding
Yaodong Yang
Yu Wang
Yu Wang
SyDa
SSL
OnRL
62
8
0
02 Aug 2024
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player
  Zero-Sum Games
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games
Yang Li
Kun Xiong
Yingping Zhang
Jiangcheng Zhu
Stephen Marcus McAleer
Wei Pan
Jun Wang
Zonghong Dai
Yaodong Yang
39
2
0
09 Aug 2023
Price of Anarchy in a Double-Sided Critical Distribution System
Price of Anarchy in a Double-Sided Critical Distribution System
David Sychrovský
Jakub Cerny
Sylvain Lichau
M. Loebl
18
1
0
20 Feb 2023
Regularization for Strategy Exploration in Empirical Game-Theoretic
  Analysis
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis
Yongzhao Wang
Michael P. Wellman
22
3
0
09 Feb 2023
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts
  in Game-Theoretic Reinforcement Learning
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
Zun Li
Marc Lanctot
Kevin R. McKee
Luke Marris
I. Gemp
Daniel Hennes
Paul Muller
Kate Larson
Yoram Bachrach
Michael P. Wellman
23
11
0
01 Feb 2023
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player
  Multi-Agent Learning Toolbox
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
Kaiqi Huang
Bin Liang
Liangsheng Wang
OffRL
28
13
0
01 Dec 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from
  Cooperation to Team Competition
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition
Pascal Leroy
J. Pisane
D. Ernst
25
3
0
21 Nov 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments
MSRL: Distributed Reinforcement Learning with Dataflow Fragments
Huanzhou Zhu
Bo Zhao
Gang Chen
Weifeng Chen
Yijie Chen
Liang Shi
Yaodong Yang
Peter R. Pietzuch
Lei Chen
OffRL
MoE
16
6
0
03 Oct 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Chang Yang
Ruiyu Wang
Xinrun Wang
Zhen Wang
OffRL
27
3
0
07 Aug 2022
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games
Stephen Marcus McAleer
JB Lanier
Kevin A. Wang
Pierre Baldi
Roy Fox
T. Sandholm
35
18
0
13 Jul 2022
Offline Equilibrium Finding
Offline Equilibrium Finding
Shuxin Li
Xinrun Wang
Youzhi Zhang
Jakub Cerny
Pengdeng Li
Hau Chan
Bo An
OffRL
46
2
0
12 Jul 2022
NeuPL: Neural Population Learning
NeuPL: Neural Population Learning
Siqi Liu
Luke Marris
Daniel Hennes
J. Merel
N. Heess
T. Graepel
35
17
0
15 Feb 2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
Xueqiang Yan
Yali Du
Binxin Ru
Jun Wang
Haifeng Zhang
Xu Chen
35
7
0
12 Jan 2022
A Game-Theoretic Approach for Improving Generalization Ability of TSP
  Solvers
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers
Chenguang Wang
Yaodong Yang
Oliver Slumbers
Congying Han
Tiande Guo
Haifeng Zhang
Jun Wang
24
17
0
28 Oct 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement
  Learning
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Shenao Zhang
Li Shen
Lei Han
Li Shen
24
7
0
30 Aug 2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium
  Meta-Solvers
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Luke Marris
Paul Muller
Marc Lanctot
K. Tuyls
T. Graepel
40
36
0
17 Jun 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
Ying Wen
Hui Chen
Yaodong Yang
Zheng Tian
Minne Li
Xu Chen
Jun Wang
38
11
0
12 Jun 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games
Modelling Behavioural Diversity for Learning in Open-Ended Games
Nicolas Perez Nieves
Yaodong Yang
Oliver Slumbers
D. Mguni
Ying Wen
Jun Wang
22
67
0
14 Mar 2021
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
Aye Phyu Phyu Aung
Xinrun Wang
Runsheng Yu
Bo An
Senthilnath Jayavelu
Xiaoli Li
29
8
0
17 Feb 2021
Algorithms in Multi-Agent Systems: A Holistic Perspective from
  Reinforcement Learning and Game Theory
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
Yunlong Lu
Kai Yan
AI4CE
15
13
0
17 Jan 2020
1